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Portail > Offres > Offre UMR5558-LAUJAC-005 - Chercheuse postdoctorante ou chercheur postdoctorant en apprentissage pour l'évolution moléculaire (H/F)

Postdoctoral researcher in machine learning for molecular evolution (M/F)

This offer is available in the following languages:
Français - Anglais

Date Limite Candidature : mercredi 15 février 2023

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General information

Reference : UMR5558-LAUJAC-005
Nombre de Postes : 1
Date of publication : Wednesday, January 25, 2023
Type of Contract : FTC Scientist
Contract Period : 18 months
Expected date of employment : 6 March 2023
Proportion of work : Full time
Remuneration : between 2 833.40 € and 4 003.62 € monthly gross according to the experience
Desired level of education : PhD
Experience required : 1 to 4 years


Improvement of a neural network predicting the evolutionary history of
a family of homologous sequences. The mission is part of a larger
project funded by the PIECES JCJC ANR
(https://anr.fr/Projet-ANR-20-CE45-0017). The current neural network,
developed in the context of the same project, relies on data sampled
from a probabilistic model of sequence evolution to learn a function
that predicts a set of evolutionary distances between pairs of
homologous sequences from their multiple alignment. Several leads are
possible to improve the network and will be discussed with the other
project members.


- Writing specifications for a phylogenetic reconstruction software exploiting a machine learning method, for non-expert users.

- Software development.

- Design and running of benchmarks against state of the art methods.

- Methodological innovation in machine learning for molecular evolution.


- Machine learning for genomics (expert).

- MSc level in algebra, statistics, data science.

- Elements of molecular evolution.

- Python programming.

Work Context

The Biometry and Evolutionary Biology laboratory (LBBE) is part of
CNRS (Unit 5558) and University of Lyon (University Claude Bernard
Lyon 1). It includes about 200 people, ant its research topics
encompass various aspects of Biometry (or Biostatistics) and
Evolutionary Biology.

Research themes in the lab are clustered around a methodology
(emphasizing the importance of modeling and informatics in life and
medical sciences), and an evolutionary perspective, regardless of the
investigation level (from molecules to communities). This double angle
results in a synergy between methodological developments and
biological questions.

The PhD will take place in the Baobab and Le Cocon groups.
The research of these groups respectively focuses on bioinformatics algorithms and molecular evolution. It will be co-advised by Laurent Jacob, researcher in statistics and machine learning for biology, and Bastien Boussau, researcher in molecular evolution.

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